Engineering Manager
Embodied AI
Posted on 1/26/2024

201-500 employees

Develops embodied AI for scalable autonomous vehicles
Company Overview
Wayve stands out as a leader in the autonomous vehicle industry, pioneering the use of embodied AI to develop AV2.0, a next-generation approach to self-driving technology that is adaptable, lean, and affordable. The company's unique approach leverages end-to-end deep learning, eliminating the need for costly robotic stacks and complex mapping, and has already been deployed on public roads, demonstrating its practical viability. With a diverse team of experts and partnerships with leading retailers for real-world testing, Wayve offers a dynamic and impactful work environment focused on addressing significant global challenges.
AI & Machine Learning
Robotics & Automation

Company Stage

Series B

Total Funding





London, United Kingdom

Growth & Insights

6 month growth


1 year growth


2 year growth

London, UK
Experience Level
Desired Skills
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
  • Prior experience as a manager of ML development teams
  • Passionate about fostering personal and professional growth in individual team members
  • Industry experience with embodied AI development with real-world product impact
  • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables
  • Prior hands-on ML development experience in an embodied area (e.g., robotics)
  • MS or PhD in Computer Science, Engineering, or similar experience
  • Overseeing projects that blend artificial intelligence, machine learning, and robotics to revolutionize transportation
  • Guiding the creation and optimization of large-scale data sets or developing advanced machine learning models
  • Fostering innovation, driving strategic initiatives, and steering teams towards achieving breakthroughs in scaled intelligence
  • Growing the team according to the product roadmap on commercialization timelines
  • Establishing solid ML practices from the start, developing the autonomous vehicle capability roadmap with production-level quality data and models across the ML cycle
  • Conducting 1:1s across the team reporting updates or coaching through career hurdles
  • Attending stand-ups of the projects your team is contributing to and seeing where you can unblock or help prioritize
  • Ensuring project leads within your team are aligning projects with company goals and priorities
  • Encouraging bold ambition and risk-taking in projects
  • Working cross-functionally to set the broader strategy and roadmap
  • Reviewing upcoming decisions and assessing any dependencies or risks
  • Debugging teams and projects - asking the right questions, challenging assumptions, thinking creatively, eliminating possible factors that could be contributing to a bug, adding feedback loops, and then assessing feedback
  • Working with leadership to communicate progress, blockers, and potential accelerants
  • Assessing general team health and looking for opportunities to improve processes and best practices
Desired Qualifications
  • Experience working in a project-based (“matrix”) operating environment
  • Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc.
  • Experience developing machine learning solutions for Autonomous Vehicles